Neil Yorke-Smith

TL;DR: This work proposes TrustSVD, a trust-based matrix factorization technique that is the first to extend SVD++ with social trust information and achieves better accuracy than other ten counterparts, and can better handle the concerned issues.

TL;DR: The models and technical advances required to satisfy the competing needs of preference modeling and elicitation, constraint reasoning, and machine learning are described and a multifaceted evaluation of the perceived usefulness of the PTIME system is reported.

TL;DR: In this paper, an apparatus for assisting a user in the execution of a task, where the task includes one or more workflows required to accomplish a goal defined by the user, includes a task learner for creating new workflows from user demonstrations, a workflow tracker for identifying and tracking the progress of a current workflow, a task assistance processor coupled with the workflow tracker, and a task executor coupled to the task assist processor, for manipulating an application on the machine used by user to carry out the suggestion.

TL;DR: In this paper, a method for assisting a user with one or more desired tasks is described, where an executable, generic language understanding module and an executable task reasoning module are provided for execution in the computer processing system.

TL;DR: A novel Bayesian similarity measure based on the Dirichlet distribution, taking into consideration both the direction and length of rating vectors is proposed, which achieves superior accuracy and reduces correlation due to chance.